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  • 1
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    Accuracy of sand beach topography surveying by drones and photogrammetry (2020)
    Springer Berlin Heidelberg
    Details
    Publication Date: 2023-06-19
    Description: Beaches are characterized by high morphodynamic activity, and high-frequency measurements are needed to understand their states and rates of change. Ideally, beach survey methods should be at once accurate, rapid and low-cost. Recently, unmanned aerial systems (drones) have been increasingly utilized to measure beach topography. In this paper, we present a review of the state of art in drones and photogrammetry for beach surveys and the respective achieved measurement quality (where reported). We then show how drones with a minimal configuration and a low-cost setup can meet the high accuracy and rapidity required for beach surveys. To test a minimal drone and ground control point configuration, we used consumer-grade equipment to perform the same flight path with different cameras and at different altitudes. We then used photogrammetry to produce digital elevation models of the beach. Using a GNSS-RTK system, we collected 2950 independent control points to evaluate the accuracy of the digital elevation models. Results show that, once a few potential sources of uncertainties in the final digital elevation model are taken into account, the average RMSE(z) of the digital elevation models was ~5 cm, with a survey efficiency of ca. 3 m2 min−1. Digital elevation models taken at different times were used to calculate the before–after sediment budget following a storm that hit a sandy coast in Sylt Island at the German North Sea coast.
    Description: Leibniz-Zentrum für Marine Tropenforschung (ZMT) GmbH (3494)
    Keywords: ddc:526 ; sand beach topography ; photogrammetry
    Language: English
    Type: doc-type:article
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    CITATION GEO-LEO
  • 2
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    Hurricane Matthew in 2100: effects of extreme sea level rise scenarios on a highly valued coastal area (Palm Beach, FL, USA) (2021)
    Springer Berlin Heidelberg
    Details
    Publication Date: 2023-07-27
    Description: Sea-level rise represents a severe hazard for populations living within low-elevation coastal zones and is already largely affecting coastal communities worldwide. As sea level continues to rise following unabated greenhouse gas emissions, the exposure of coastal communities to inundation and erosion will increase exponentially. These impacts will be further magnified under extreme storm conditions. In this paper, we focus on one of the most valuable coastal real estate markets globally (Palm Beach, FL). We use XBeach, an open-source hydro and morphodynamic model, to assess the impact of a major tropical cyclone (Hurricane Matthew, 2016) under three different sea-level scenarios. The first scenario (modern sea level) serves as a baseline against which other model runs are evaluated. The other two runs use different 2100 sea-level projections, localized to the study site: (i) IPCC RCP 8.5 (0.83 m by 2100) and (ii) same as (i), but including enhanced Antarctic ice loss (1.62 m by 2100). Our results show that the effective doubling of future sea level under heightened Antarctic ice loss amplifies flow velocity and wave height, leading to a 46% increase in eroded beach volume and the overtopping of coastal protection structures. This further exacerbates the vulnerability of coastal properties on the island, leading to significant increases in parcel inundation.
    Description: Universität Bremen (1013)
    Description: https://github.com/pboyden/Palm_Beach_XBeach
    Keywords: ddc:551.46 ; Oceanography ; tropical cyclones ; coastal areas ; sea level scenarios ; hydrodynamic modeling ; morphodynamic modeling
    Language: English
    Type: doc-type:article
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    CITATION GEO-LEO
  • 3
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    GPS raw data (control points and ground control points) from the Liguria Region, Borghetto Santo Spirito, Italy
    PANGAEA
    In:  Supplement to: Casella, Elisa; Rovere, Alessio; Pedroncini, Andrea; Mucerino, Luigi; Cusati, Luis Alberto; Vacchi, Matteo; Ferrari, Marco; Firpo, M (2014): Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management. Estuarine, Coastal and Shelf Science, 149, 160-167, https://doi.org/10.1016/j.ecss.2014.08.012
    Details
    Publication Date: 2023-05-12
    Description: Monitoring the impact of sea storms on coastal areas is fundamental to study beach evolution and the vulnerability of low-lying coasts to erosion and flooding. Modelling wave runup on a beach is possible, but it requires accurate topographic data and model tuning, that can be done comparing observed and modeled runup. In this study we collected aerial photos using an Unmanned Aerial Vehicle after two different swells on the same study area. We merged the point cloud obtained with photogrammetry with multibeam data, in order to obtain a complete beach topography. Then, on each set of rectified and georeferenced UAV orthophotos, we identified the maximum wave runup for both events recognizing the wet area left by the waves. We then used our topography and numerical models to simulate the wave runup and compare the model results to observed values during the two events. Our results highlight the potential of the methodology presented, which integrates UAV platforms, photogrammetry and Geographic Information Systems to provide faster and cheaper information on beach topography and geomorphology compared with traditional techniques without losing in accuracy. We use the results obtained from this technique as a topographic base for a model that calculates runup for the two swells. The observed and modeled runups are consistent, and open new directions for future research.
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 4
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    GPS raw data of Ground control points from the Liguria Region, Borghetto Santo Spirito, Italy
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Borghetto_Santo_Spirito; Borghetto S.S.; Family ID; HEIGHT above ground; Horizontal dilution of precision; Italy; LATITUDE; LONGITUDE; Number of filtered positions; Position dilution of precision; Precision; Sample ID; Standard deviation; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Type: Dataset
    Format: text/tab-separated-values, 77 data points
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    DATA PANGAEA
  • 5
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    GPS raw data of control points from the Liguria Region, Borghetto Santo Spirito, Italy
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Borghetto_Santo_Spirito; Borghetto S.S.; Difference; Family ID; HEIGHT above ground; Horizontal dilution of precision; Italy; LATITUDE; LONGITUDE; Number of filtered positions; Position dilution of precision; Precision; Root mean square error; Sample ID; Standard deviation; Surface elevation; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Type: Dataset
    Format: text/tab-separated-values, 322 data points
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    DATA PANGAEA
  • 6
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    Maps of coastal and marine geomorphology between Albenga and Savona (NW Mediterranean Sea, Italy) (2015)
    PANGAEA
    In:  Supplement to: Rovere, Alessio; Casella, Elisa; Vacchi, Matteo; Parravicini, V; Firpo, M; Ferrari, Maud C O; Morri, Carla; Bianchi, Carlo Nike (2015): Coastal and marine geomorphology between Albenga and Savona (NW Mediterranean Sea, Italy). Journal of Maps, 11(2), 278-286, https://doi.org/10.1080/17445647.2014.933134
    Details
    Publication Date: 2024-02-16
    Description: In this paper, we present a map describing the main geomorphological features of the coastal and marine area between the towns of Albenga and Savona (Ligurian Sea, NW Mediterranean) corresponding to a coastal stretch of ~40 km. To produce this map, we collated data from the literature, orthophotos, perspective photos, multibeam and side scan sonar data, and undertook direct surveys to ground truth data obtained using indirect techniques. We divided the information into nine thematic layers, including bathymetry, natural coastal types, geomorphological elements, seafloor coverage (both geological and biological), coastal and nearshore dynamics, human influence on coastal and marine environments, coastal occupation and protected areas.
    Keywords: File format; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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    DATA PANGAEA
  • 7
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    Wave models for Eleuthera, Northern Bahamas (2017)
    PANGAEA
    In:  Supplement to: Rovere, Alessio; Casella, Elisa; Harris, Daniel L; Lorscheid, Thomas; Nandasena, Napayalage A K; Dyer, Blake; Sandstrom, Michael R; Stocchi, Paolo; D'Andrea, William J; Raymo, Maureen E (2017): Giant boulders and Last Interglacial storm intensity in the North Atlantic. Proceedings of the National Academy of Sciences, 114(46), 12144-12149, https://doi.org/10.1073/pnas.1712433114
    Details
    Publication Date: 2024-01-27
    Description: As global climate warms and sea level rises, coastal areas will be subject to more frequent extreme flooding and hurricanes. Geologic evidence for extreme coastal storms during past warm periods has the potential to provide fundamental insights into their future intensity. Recent studies argue that during the Last Interglacial (MIS 5e, ~128-116 ka) tropical and extratropical North Atlantic cyclones may have been more intense than at present, and may have produced waves larger than those observed historically. Such strong swells are inferred to have created a number of geologic features that can be observed today along the coastlines of Bermuda and the Bahamas. In this paper, we investigate the most iconic among these features: massive boulders atop a cliff in North Eleuthera, Bahamas. We combine geologic field surveys, wave models, and boulder transport equations to test the hypothesis that such boulders must have been emplaced by storms of greater-than-historical intensity. By contrast, our results suggest that with the higher relative sea level (RSL) estimated for the Bahamas during MIS 5e, boulders of this size could have been transported by waves generated by storms of historical intensity. Thus, while the megaboulders of Eleuthera cannot be used as geologic proof for past "superstorms," they do show that with rising sea levels, cliffs and coastal barriers will be subject to significantly greater erosional energy, even without changes in storm intensity.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 5.3 GBytes
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    DATA PANGAEA
  • 8
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    UAV derived orthomosaics of a rocky intertidal area, a coral reef area and a mangrove area in the Pacific coast of Colombia, eastern Pacific Ocean (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-22
    Description: Dataset includes: a) an orthomosaic (GeoTIFF) of a coral reef site (La Chola) in a protected area (Utría National Park) of the Pacific coast of Colombia in the tropical eastern Pacific region. The orthomosaic was constructed using 110 RGB pictures collected with an UAV (DJI Phantom 4) flying at an altitude of 100 m. b) an orthomosaic (GeoTIFF) of an intertidal rocky shore site (Punta Diego) in a protected area (Utría National Park) of the Pacific coast of Colombia in the tropical eastern Pacific region. The orthomosaic was constructed using 312 RGB pictures collected with an UAV (DJI Phantom 4) flying at an altitude of 60 m. c) an orthomosaic (GeoTIFF) of a mangrove site (La Chunga) in a protected area (Utría National Park) of the Pacific coast of Colombia in the tropical eastern Pacific region. The orthomosaic was constructed using 98 RGB pictures collected with an UAV (DJI Phantom 4) flying at an altitude of 100 m.
    Keywords: Colombia; coral reef orthomosaic; File content; File format; File name; File size; intertidal rocky shore orthomosaic; mangrove orthomosaic; MULT; Multiple investigations; tropical eastern Pacific; Uniform resource locator/link to file; unmanned aerial vehicle; Utria_National_Park
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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    DATA PANGAEA
  • 9
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    (Supplementary material) A spreadsheet structure for building compilations of MIS 5e (and older) sea-level data, and updating a formerly proposed one (2017)
    PANGAEA
    In:  Supplement to: Rovere, Alessio; Raymo, Maureen E; Vacchi, Matteo; Lorscheid, Thomas; Stocchi, Paolo; Gómez-Pujol, Lluís; Harris, Daniel L; Casella, Elisa; O'Leary, Michael J; Hearty, Paul J (2016): The analysis of Last Interglacial (MIS 5e) relative sea-level indicators: reconstructing sea-level in a warmer world. Earth-Science Reviews, 159, 404-427, https://doi.org/10.1016/j.earscirev.2016.06.006
    Details
    Publication Date: 2024-04-22
    Description: The Last Interglacial (MIS 5e, 128-116 ka) is among the most studied past periods in Earth's history. The climate at that time was warmer than today, primarily due to different orbital conditions, with smaller ice sheets and higher sea-level. Field evidence for MIS 5e sea-level was reported from thousands of sites, but often paleo shorelines were measured with low-accuracy techniques and, in some cases, there are contrasting interpretations about paleo sea-level reconstructions. For this reason, large uncertainties still surround both the maximum sea-level attained as well as the pattern of sea-level change throughout MIS 5e. Such uncertainties are exacerbated by the lack of a uniform approach to measuring and interpreting the geological evidence of paleo sea-levels. In this review, we discuss the characteristics of MIS 5e field observations, and we set the basis for a standardized approach to MIS 5e paleo sea-level reconstructions, that is already successfully applied in Holocene sea-level research. Application of the standard definitions and methodologies described in this paper will enhance our ability to compare data from different research groups and different areas, in order to gain deeper insights into MIS 5e sea-level changes. Improving estimates of Last Interglacial sea-level is, in turn, a key to understanding the behavior of ice sheets in a warmer world.
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 263 kBytes
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    DATA PANGAEA
  • 10
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    Appendix B.1 - Relative sea level (2017)
    PANGAEA
    Details
    Publication Date: 2024-04-22
    Description: Paleo relative sea-level (RSL) indicators formed during the Marine Isotope Stage (MIS) 5e have been reported by a large number of studies worldwide. Despite this, three main aspects are seldom reported: (1) use of high-precision survey techniques applied to MIS 5e RSL indicators; (2) application of modern analogs to understand the indicative meaning of MIS 5e RSL indicators; (3) estimates of the effects of glacial isostatic adjustment (GIA) on the MIS 5e records. In this study, we show how the three points above have been addressed in a focused study on Last Interglacial outcrops on the island of Mallorca. We measured the elevation of several RSL indicators with high-accuracy differential GPS (vertical accuracies down to 0.1 m) and we established the relationship between each RSL indicator and the paleo sea level through calculation of the indicative meaning for each RSL indicator. In particular, we present a novel technique to calculate the indicative meaning of fossil beach deposits with a phase-averaged morphodynamic model (CSHORE). We show how this approach helps overcoming difficulties with the survey of the modern analogs for these indicators. Our results show that two paleo RSLs are imprinted in Mallorca at + 2.9 ± 0.8 m and + 11.3 ± 1.0 m. We then compare our field-based results with modelled paleo RSL, calculated from the predictions of the ice-earth coupled ANICE-SELEN model, using few different ice-sheet melting scenarios during MIS 5e. We conclude that indicative ranges can be derived from relatively simple morphodynamic models and that the comparison of field-derived and modelled RSL values is a good method to validate possible scenarios of MIS 5e sea-level variability, especially in absence of precise dating.
    Keywords: Boundary; CALA_BLAVA_3a; CALA_BLAVA_3b; CALA_BLAVA_3c; CALA_MILLOR_7; CALA_PI_4a; CALA_PI_4b; CALA_PUDENT_1a; CALO_DES_CAMPS_9; CAMP_DE_TIR_1b; CANYAMEL_8; Center for Marine Environmental Sciences; Comment; Date/Time of event; Elevation of event; Event label; Latitude of event; Location; Longitude of event; Mallorca; MARUM; PLATJA_DE_SANT_JOAN_11a; PLATJA_DE_SANT_JOAN_11b; Position; Precision; Range; S_ESTALELLA_5; S_ILLOT_6a; S_ILLOT_6b; SA_COVA_BAIXA_2a; SA_COVA_BAIXA_2b; Sea level, relative; Sea level, relative standard deviation; Surface elevation; TORRENT_DE_SON_REAL_10; Water level
    Type: Dataset
    Format: text/tab-separated-values, 304 data points
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    DATA PANGAEA
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